Senior AWS Data Engineer — Data Lake & Warehouse

Capgemini; Aguascalientes; On-site; MXN 1,100,000 - 1,500,000; Full time

Benefits offered by this job

Flexible schedules

Bilingual training (Spanish & English)

Job summary

Capgemini Mexico is seeking a Senior Data Engineer focused on AWS data platforms. You will design, build, and evolve enterprise-scale data solutions that enable data-driven decision-making and advanced analytics.

You will help shape modern data ecosystems with governance, quality, and automation baked in from the start. You will collaborate with architects, data scientists, and engineers to deliver end-to-end data pipelines, optimize performance, and drive cloud-native modernization across the

Qualifications

• Shows strong AWS data engineering expertise and scalable data platform design.
• Experience building ETL/ELT pipelines with Python and Spark.
• Ability to collaborate with architects, analysts, and data scientists.
• Focus on data quality, governance, security, and cost efficiency.

Responsibilities

• Design and implement scalable Data Lake and Data Warehouse on AWS.
• Develop and maintain robust ETL/ELT pipelines with Python, SQL, Spark.
• Integrate data from APIs, databases, files, and applications.
• Optimize data processing for performance, cost, and reliability.
• Implement data quality, governance, lineage, and security controls.
• Collaborate with cross-functional teams to deliver data solutions.

Skills

AWS data engineering

ETL/ELT development

Data modeling

Problem solving

Tools

Python

SQL

Spark

AWS Glue

Lambda

Redshift

EMR

Athena

S3

Job description

Capgemini Mexico is seeking a Senior Data Engineer focused on AWS data platforms. You will design, build, and evolve enterprise-scale data solutions that enable data-driven decision-making and advanced analytics.

You will help shape modern data ecosystems with governance, quality, and automation baked in from the start. You will collaborate with architects, data scientists, and engineers to deliver end-to-end data pipelines, optimize performance, and drive cloud-native modernization across the